Publisher
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Medical University of Innsbruck

Just Landed

PhD Position in Artificial Intelligence for Biomedicine and Chromosomal Instability in Cancer Medical University of Innsbruck in Austria

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded at 75% (approximately 30 hours per week), with a current annual gross base salary of EUR 39,649.05 under the university collective agreement, potentially increasing based on relevant prior experience. The contract is for four years.

Deadline

Feb 2, 2027

Country flag

Country

Austria

University

Medical University of Innsbruck

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Keywords

Computer Science
Biomedical Engineering
Medical Imaging
Artificial Intelligence
Histology
Medical Science
Metastasis
Genomic
Bioinformatic
ML

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About this position

This PhD project at the Medical University of Innsbruck investigates the mechanistic origins of chromosomal instability (CIN) in cancer and its role in immune evasion, therapy resistance, and metastatic spread. The research addresses how tumors can suppress interferon signaling and evade immune detection before metastasis.

The doctoral researcher will develop the computational core of a multimodal artificial intelligence system in close collaboration with wet-lab scientists and clinical teams. The model will integrate genomic, transcriptomic, imaging, and histological information to identify and predict CIN-driven metastasis in cancer patients.

Research activities include curating and harmonizing data from WES/WGS, bulk and single-cell RNA sequencing, spatial transcriptomics, whole-slide histology, and PET/CT imaging. The project will also analyze tumor neural innervation in histological images and connect these findings with PET/CT data. Model predictions will be evaluated against experimental and clinical outcomes through collaboration with an international research network.

The successful researcher will work in an emerging program bridging multimodal AI systems, chromosomal instability, and interferon biology. The environment combines computational, genomic, and imaging infrastructure at the Medical University of Innsbruck with access to wet-lab and clinical expertise, research visits, and joint projects involving European and US collaborators, including City of Hope and UC San Diego.

The project offers opportunities to publish first-author research in leading peer-reviewed journals and present findings at international conferences.

Funding details

Fully funded at 75% (approximately 30 hours per week), with a current annual gross base salary of EUR 39,649.05 under the university collective agreement, potentially increasing based on relevant prior experience. The contract is for four years.

What's required

Applicants should have an MSc in computer science, artificial intelligence, or data science; strong command of artificial intelligence and machine learning; fluency in Python and hands-on experience with PyTorch, JAX, or TensorFlow; demonstrated ability to independently drive an AI/ML project end to end; and excellent written and spoken English. Experience with transfer learning or foundation models, multimodal deep learning combining genomic, imaging, and tabular data, and integration of multi-omic and imaging data is advantageous. Applicants should be able to collaborate across disciplines with scientists and clinicians.

How to apply

Send a CV and brief cover letter describing your motivation and relevant experience to [email protected], copying [email protected]. Quote reference number MEDI-21223 in the subject line.

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